A system of enhancing biometric analysis matching utilizes an image sensor, such as a digital camera, to capture an image of a face of a person. The system may perform image enhancement, such as edge and contrast enhancement, prior to performing face matching. The enhancement may be localized to a given image region based on determined region illumination. The system may perform image processing and analysis comprising face detection, alignment, feature extraction, and recognition. A biometric recognition confidence indicator may be generated using the results of the image enhancement and analysis. At least partly in response to the biometric recognition confidence indicator falling below a threshold enhancing recognition confidence using an image of visual indicia captured using the image sensor.
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2. The method of claim 1, wherein the given biometric identifier of the first type comprises face data of the first person and the given biometric identifier of the second type comprises fingerprint data of the first person.
This invention relates to biometric authentication systems that use multiple types of biometric identifiers to verify the identity of an individual. The problem addressed is the need for more secure and reliable authentication methods that reduce the risk of unauthorized access while maintaining user convenience. Traditional single-factor biometric systems, such as face recognition or fingerprint scanning, can be vulnerable to spoofing or errors. This invention improves security by combining two distinct biometric identifiers—face data and fingerprint data—of the same person to authenticate their identity. The system captures and processes both types of biometric data, ensuring that only the legitimate user can be authenticated. The face data may include facial features, expressions, or other visual characteristics, while the fingerprint data includes unique ridge patterns and minutiae points. By requiring both forms of biometric verification, the system enhances accuracy and resistance to fraudulent attempts. This dual-factor approach is particularly useful in high-security applications, such as financial transactions, access control, or personal device unlocking, where a single biometric identifier may not provide sufficient security. The invention ensures that authentication is both robust and user-friendly, leveraging the strengths of different biometric modalities to improve overall system reliability.
3. The method of claim 1, wherein the given biometric identifier of the first type comprises face data of the first person and the given biometric identifier of the second type comprises iris pattern data of the first person.
This invention relates to biometric authentication systems that use multiple types of biometric identifiers to verify a person's identity. The problem addressed is the need for more secure and reliable identity verification methods, as single biometric identifiers can be spoofed or compromised. The solution involves using two distinct biometric identifiers of different types to enhance security. The method involves capturing a first biometric identifier of a first type, such as face data, and a second biometric identifier of a second type, such as iris pattern data, from the same person. These identifiers are then processed to extract unique features. The extracted features from both identifiers are combined into a single biometric template. This combined template is used to verify the person's identity by comparing it against stored reference templates. The use of two different biometric types increases security by making it harder for unauthorized individuals to bypass the system. For example, while face data might be spoofed with a photograph, iris patterns are more difficult to replicate. The system can be used in applications requiring high-security authentication, such as access control, financial transactions, or secure facility entry. The method ensures that both biometric identifiers are from the same person, reducing the risk of false matches or fraud.
4. The method of claim 1, wherein the given biometric identifier of the first type comprises two dimensional biometric data and the given biometric identifier of the second type comprises three dimensional biometric data.
Biometric authentication systems often rely on single-modal identifiers, which can be vulnerable to spoofing or environmental variations. To enhance security and reliability, a method uses a combination of two-dimensional (2D) and three-dimensional (3D) biometric data for authentication. The 2D biometric data, such as a facial image or fingerprint scan, provides a standard reference point, while the 3D biometric data, such as a depth map or volumetric scan, adds an additional layer of verification by capturing spatial and structural details. By analyzing both types of data, the system can distinguish between genuine biometric traits and fraudulent attempts, such as photographs or masks. The 2D data is processed to extract features like texture, edges, or patterns, while the 3D data is analyzed for depth, contours, or surface topology. The system then compares the combined data against stored templates to authenticate the user. This dual-modal approach improves accuracy, reduces false acceptance rates, and mitigates risks associated with single-modal biometric systems. The method is applicable in security, access control, and identity verification applications where high assurance is required.
7. The method of claim 1, wherein the first biometric reader comprises a camera and/or a capacitor array.
A system and method for biometric authentication uses a first biometric reader to capture biometric data from a user. The first biometric reader includes a camera and/or a capacitor array to detect and analyze biometric characteristics such as fingerprints, facial features, or other physiological traits. The captured data is processed to extract unique identifiers or patterns that can be compared against stored biometric templates for authentication purposes. The system may also include additional biometric readers or sensors to enhance accuracy or security. The method involves aligning, normalizing, or enhancing the captured biometric data to improve matching performance. The system may further include a processing unit that executes algorithms to compare the extracted biometric features with stored templates, determining whether the user is authenticated. The method may also involve dynamic adjustments to the biometric capture process based on environmental conditions or user behavior to ensure reliable authentication. The system is designed to operate in real-time, providing secure access control or identity verification in applications such as mobile devices, security systems, or financial transactions. The use of a camera and/or capacitor array allows for flexible and non-intrusive biometric data collection, improving user convenience while maintaining high security standards.
8. The method of claim 1, wherein the first biometric reader is configured to be operated in an enrollment mode to create a new biometric record for a given person and a verification mode to enable verification that a given person has access rights to a given location or event.
This invention relates to biometric authentication systems, specifically methods for managing access control using biometric readers. The system addresses the need for secure and efficient verification of individuals' access rights to locations or events by leveraging biometric data. The method involves a biometric reader that operates in two distinct modes: enrollment and verification. In enrollment mode, the reader captures and stores a new biometric record for an individual, such as a fingerprint, facial scan, or other unique biological characteristic. This record is then used in verification mode to confirm the identity of a person attempting to access a restricted area or event. The verification process compares the captured biometric data against stored records to determine if the individual has the necessary access rights. The system ensures that only authorized individuals can enter specific locations or participate in events, enhancing security while streamlining access control. The biometric reader may be integrated into physical access points, such as doors or turnstiles, or used for event registration and verification. The method improves upon traditional access control systems by reducing reliance on physical credentials like cards or keys, minimizing the risk of unauthorized access. The system is adaptable to various environments, including corporate buildings, secure facilities, and public events, where identity verification is critical.
10. The system of claim 9, wherein the given biometric identifier of the first type comprises face data of the first person and the given biometric identifier of the second type comprises palm data of the first person.
A biometric authentication system uses multiple types of biometric identifiers to verify the identity of a person. The system captures and processes face data and palm data of the same individual to enhance authentication accuracy and security. Face data includes facial features such as facial geometry, texture, and other distinguishing characteristics captured through imaging devices like cameras. Palm data includes unique patterns of the palm, such as vein structures, ridges, and creases, captured using specialized sensors or imaging techniques. The system compares the captured face and palm data against stored templates to authenticate the individual. By combining these two distinct biometric modalities, the system improves resistance to spoofing and increases reliability compared to single-biometric systems. The integration of face and palm data ensures robust identity verification, suitable for high-security applications where accuracy and fraud prevention are critical. The system may be deployed in access control, financial transactions, or other scenarios requiring multi-factor authentication.
11. The system of claim 9, wherein the given biometric identifier of the first type comprises face data of the first person and the given biometric identifier of the second type comprises iris pattern data of the first person.
A biometric authentication system uses multiple biometric identifiers of different types to verify the identity of a person. The system captures and processes face data and iris pattern data of the same individual to enhance security and accuracy. Face data is obtained through imaging techniques, such as photographs or video frames, and analyzed to extract facial features. Iris pattern data is captured using specialized imaging devices that focus on the unique patterns of the iris, which are highly distinctive and stable over time. The system compares the captured biometric data against stored templates to authenticate the individual. By combining face and iris recognition, the system improves reliability and reduces false acceptance rates, addressing challenges in single-biometric systems where spoofing or environmental factors may compromise accuracy. The system is particularly useful in high-security applications where robust identity verification is required, such as border control, financial transactions, or access to restricted areas. The integration of multiple biometric modalities ensures a higher level of confidence in identity verification, mitigating risks associated with individual biometric vulnerabilities.
12. The system of claim 9, wherein the given biometric identifier of the first type comprises two dimensional biometric data and the given biometric identifier of the second type comprises three dimensional biometric data.
Biometric authentication systems often rely on single-modal identifiers, which can be vulnerable to spoofing or environmental variations. To enhance security and reliability, a system may use a combination of two-dimensional (2D) and three-dimensional (3D) biometric data. The 2D biometric data, such as a facial image or fingerprint scan, captures surface-level features, while the 3D biometric data, such as a depth map or volumetric scan, provides structural information. By cross-referencing these two types of data, the system can verify the authenticity of the biometric sample, reducing the risk of fraud. The 2D data may be obtained using standard imaging sensors, while the 3D data may be captured using structured light, time-of-flight, or stereo imaging techniques. The system processes both datasets to ensure they correspond to the same individual, improving accuracy over single-modal approaches. This dual-modal verification can be applied in access control, identity verification, or secure transactions, where higher security is required. The integration of 2D and 3D biometric data enhances robustness against spoofing attempts, such as photographs or masks, by detecting inconsistencies between surface and structural features.
15. The system of claim 9, wherein the first biometric reader comprises a camera, and/or a capacitor array.
A biometric authentication system is designed to enhance security by using multiple biometric modalities for user verification. The system includes a first biometric reader, such as a camera or a capacitor array, to capture biometric data from a user. The camera may be used for facial recognition, while the capacitor array can detect touch-based biometrics, such as fingerprints or hand geometry. The system also includes a second biometric reader, which may be a different type of sensor, such as a fingerprint scanner or an iris scanner, to provide additional biometric data. A processing unit analyzes the biometric data from both readers to authenticate the user. The system may also include a communication interface to transmit authentication results to other devices or systems. The use of multiple biometric readers improves accuracy and security by reducing the likelihood of false positives or negatives. This system is particularly useful in high-security environments where reliable authentication is critical.
16. The system of claim 9, wherein the first biometric reader is configured to be operated in an enrollment mode to create a new biometric record for a given person and a verification mode to enable verification that a given person has access rights to a given location or event.
This invention relates to a biometric access control system designed to manage and verify individual access rights to secure locations or events. The system includes a first biometric reader capable of operating in two distinct modes: enrollment and verification. In enrollment mode, the reader captures and stores biometric data, such as fingerprints or facial recognition, to create a new biometric record for an authorized individual. This record is then used in verification mode to confirm the identity of a person attempting to access a restricted area or event. The system ensures that only individuals with pre-registered biometric records can gain entry, enhancing security by replacing traditional access methods like keycards or passwords. The biometric reader may be integrated with additional components, such as a processing unit and a database, to store and compare biometric data against stored records in real time. This approach improves access control efficiency and reduces the risk of unauthorized entry. The system is particularly useful in high-security environments where reliable identity verification is critical.
18. The non-transitory computer readable memory of claim 17, wherein the given biometric identifier of the first type comprises face data of the first person and the given biometric identifier of the second type comprises fingerprint data of the first person.
This invention relates to biometric authentication systems that use multiple types of biometric identifiers to verify a person's identity. The problem addressed is the need for more secure and reliable identity verification methods, as single biometric identifiers can be spoofed or compromised. The system stores biometric data of a person, including at least two different types of biometric identifiers, such as face data and fingerprint data. When verifying identity, the system captures a new biometric sample of the same type as one of the stored identifiers, compares it to the stored data, and if a match is found, uses the second stored biometric identifier to perform a secondary verification. This dual-verification process enhances security by requiring multiple distinct biometric matches before granting access. The system may also include a user interface for enrolling new biometric data and a processor for performing the comparisons. The use of different biometric types, such as facial recognition and fingerprint scanning, ensures that the authentication process is robust against attacks targeting a single biometric modality. This approach improves security in applications like secure access control, financial transactions, and personal device authentication.
19. The non-transitory computer readable memory of claim 17, wherein the given biometric identifier of the first type comprises face data of the first person and the given biometric identifier of the second type comprises palm data of the first person.
This invention relates to biometric authentication systems that use multiple types of biometric identifiers for enhanced security. The system addresses the problem of unreliable or spoofable single-factor biometric authentication by combining different biometric modalities, such as facial recognition and palm vein patterns, to improve accuracy and resistance to fraud. The system stores biometric data in a non-transitory computer-readable memory, where the data includes at least two distinct types of biometric identifiers for a person. The first type of identifier is face data, which may include facial features, facial recognition templates, or other facial characteristics. The second type of identifier is palm data, which may include palm vein patterns, palm prints, or other palm-based biometric traits. The system is designed to authenticate a person by comparing captured biometric data against the stored identifiers of both types, ensuring that authentication requires matching both modalities. This multi-modal approach enhances security by reducing the likelihood of false positives or successful spoofing attempts, as an attacker would need to replicate both facial and palm biometrics simultaneously. The system is particularly useful in high-security applications where single-factor authentication is insufficient.
20. The non-transitory computer readable memory of claim 17, wherein the given biometric identifier of the first type comprises two dimensional biometric data and the given biometric identifier of the second type comprises three dimensional biometric data.
This invention relates to biometric authentication systems that use multiple types of biometric data for enhanced security. The system stores biometric identifiers of different types in a non-transitory computer-readable memory, where one type is two-dimensional (2D) biometric data and the other is three-dimensional (3D) biometric data. The 2D biometric data may include flat images such as fingerprints or facial scans, while the 3D biometric data may include depth-based representations like 3D facial scans or volumetric fingerprints. The system compares input biometric data against stored templates of both types to verify identity, improving accuracy and security by cross-referencing different biometric modalities. This approach helps mitigate spoofing attacks and reduces false acceptance rates compared to single-modal biometric systems. The memory stores these identifiers in a structured format, allowing efficient retrieval and comparison during authentication. The system may also include preprocessing steps to normalize and enhance the biometric data before matching. By combining 2D and 3D biometric data, the invention provides a more robust authentication mechanism suitable for high-security applications.
23. The non-transitory computer readable memory of claim 17, wherein the first biometric reader comprises a camera and/or a capacitor array.
A system for biometric authentication uses a non-transitory computer-readable memory storing instructions that, when executed, perform biometric recognition. The system includes a first biometric reader, such as a camera or a capacitor array, to capture biometric data from a user. The camera may capture images of the user's face, fingerprints, or other distinguishing features, while the capacitor array detects variations in capacitance to identify unique patterns, such as those from a fingerprint or hand geometry. The captured data is processed to authenticate the user by comparing it against stored biometric templates. The system may also include additional biometric readers, such as a second reader using different technology (e.g., a thermal sensor or a microphone for voice recognition), to enhance accuracy or security. The memory stores algorithms for processing raw biometric data, extracting features, and performing matching operations. The system may further include a communication interface to transmit authentication results to other devices or systems. This approach improves security by leveraging multiple biometric modalities and advanced sensing techniques.
24. The non-transitory computer readable memory of claim 17, wherein the first biometric reader is configured to be operated in an enrollment mode to create a new biometric record for a given person and a verification mode to enable verification that a given person has access rights to a given location or event.
This invention relates to a biometric access control system that uses a non-transitory computer-readable memory to store and process biometric data for secure access management. The system addresses the need for reliable and secure authentication methods to control access to physical locations or events, reducing reliance on traditional keycards or passwords, which are vulnerable to theft or duplication. The system includes a first biometric reader capable of operating in two distinct modes: enrollment and verification. In enrollment mode, the reader captures and stores a new biometric record for an authorized individual, such as a fingerprint, facial scan, or iris pattern. This record is then stored in the computer-readable memory for future reference. In verification mode, the reader compares a live biometric sample from an individual against the stored records to confirm their identity and determine if they have the necessary access rights to a specific location or event. If the biometric data matches, access is granted; otherwise, access is denied. The system ensures secure and efficient access control by leveraging biometric authentication, which is more difficult to forge than traditional methods. The non-transitory memory ensures data integrity and persistence, allowing the system to maintain accurate records for ongoing verification. This approach enhances security while simplifying the authentication process for users.
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February 1, 2022
December 20, 2022
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